Exciting advancements in artificial intelligence (AI) are on the horizon for the healthcare sector, particularly in urgent care. Research from the National Institute for Health and Care Excellence (NICE) indicates that AI technology could significantly reduce the number of missed fractures and broken bones when analyzing X-rays. This promising development aims to ease the burden on healthcare professionals while improving patient outcomes.
Four AI tools are poised to be recommended for use across urgent care facilities in England, pending further evidence collection on their effectiveness. These tools are designed to work in tandem with healthcare professionals, ensuring that every X-ray is thoroughly reviewed by trained experts.
Currently, broken bones go undetected in 3-10% of cases—this marks one of the most common diagnostic errors in emergency departments. The situation is compounded by a shortage of radiologists and radiographers, with vacancy rates sitting at 12.5% and 15%, respectively, as highlighted in the NHS's long-term plan.
Mark Chapman, director of health technology at NICE, emphasized the advantages of integrating AI into clinical practice. "These AI technologies are safe to use and could spot fractures that humans might miss, given the pressure and demands these professional groups work under," he explained. By enhancing diagnostic accuracy, AI has the potential to accelerate the diagnostic process and decrease the need for follow-up appointments resulting from missed fractures.
NICE reassured that the integration of AI is unlikely to increase incorrect diagnoses or unnecessary referrals to fracture clinics. Each X-ray will always be evaluated by a radiologist, ensuring a double-check system that enhances patient safety.
The potential applications of AI in healthcare are vast. Beyond fracture detection, AI is already being utilized to identify early signs of breast cancer, assess heart attack risk, and even predict future pandemics.
A public consultation on the draft NICE guidance regarding the use of AI in urgent care is currently underway, with feedback welcomed until November 5. As these technologies continue to develop, the future of urgent care looks promising, paving the way for quicker, more accurate diagnoses and improved patient care.